mirror of
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Rename ConversationDynamics to AgentConversation; add example test project and README
Co-authored-by: crickman <66376200+crickman@users.noreply.github.com>
This commit is contained in:
@@ -464,7 +464,8 @@
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<Folder Name="/Tests/" />
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<Folder Name="/Tests/IntegrationTests/">
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<Project Path="tests/AgentConformance.IntegrationTests/AgentConformance.IntegrationTests.csproj" />
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<Project Path="tests/ConversationDynamics.IntegrationTests/ConversationDynamics.IntegrationTests.csproj" />
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<Project Path="tests/AgentConversation.IntegrationTests/AgentConversation.IntegrationTests.csproj" />
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<Project Path="tests/Microsoft.Agents.AI.Abstractions.IntegrationTests/Microsoft.Agents.AI.Abstractions.IntegrationTests.csproj" />
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<Project Path="tests/AnthropicChatCompletion.IntegrationTests/AnthropicChatCompletion.IntegrationTests.csproj" />
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<Project Path="tests/AzureAI.IntegrationTests/AzureAI.IntegrationTests.csproj" />
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<Project Path="tests/AzureAIAgentsPersistent.IntegrationTests/AzureAIAgentsPersistent.IntegrationTests.csproj" />
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+1
-1
@@ -3,7 +3,7 @@
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using System.Collections.Generic;
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using Microsoft.Extensions.AI;
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namespace ConversationDynamics.IntegrationTests;
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namespace AgentConversation.IntegrationTests;
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/// <summary>
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/// Defines an agent participating in a <see cref="IConversationTestCase"/>.
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+1
-1
@@ -7,7 +7,7 @@ using System.Text.Json;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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namespace ConversationDynamics.IntegrationTests;
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namespace AgentConversation.IntegrationTests;
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/// <summary>
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/// Provides helpers for serializing and deserializing conversation contexts (lists of <see cref="ChatMessage"/>)
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+1
-1
@@ -8,7 +8,7 @@ using System.Threading.Tasks;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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namespace ConversationDynamics.IntegrationTests;
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namespace AgentConversation.IntegrationTests;
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/// <summary>
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/// Orchestrates the execution of a <see cref="IConversationTestCase"/> against a given
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+2
-2
@@ -6,10 +6,10 @@ using System.Diagnostics;
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using System.Threading.Tasks;
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using Xunit.Abstractions;
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namespace ConversationDynamics.IntegrationTests;
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namespace AgentConversation.IntegrationTests;
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/// <summary>
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/// Abstract xunit base class for conversation dynamics integration tests.
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/// Abstract xunit base class for agent conversation integration tests.
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/// </summary>
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/// <remarks>
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/// <para>
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+1
-1
@@ -1,6 +1,6 @@
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// Copyright (c) Microsoft. All rights reserved.
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namespace ConversationDynamics.IntegrationTests;
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namespace AgentConversation.IntegrationTests;
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/// <summary>
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/// Captures the size characteristics of a conversation context at a specific point in time.
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+1
-1
@@ -1,6 +1,6 @@
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// Copyright (c) Microsoft. All rights reserved.
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namespace ConversationDynamics.IntegrationTests;
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namespace AgentConversation.IntegrationTests;
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/// <summary>
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/// Captures the before-and-after <see cref="ConversationMetrics"/> for a single test case run,
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+1
-1
@@ -4,7 +4,7 @@ using System;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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namespace ConversationDynamics.IntegrationTests;
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namespace AgentConversation.IntegrationTests;
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/// <summary>
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/// Represents a single step within a <see cref="IConversationTestCase"/>, combining the agent to invoke,
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+2
-2
@@ -6,10 +6,10 @@ using System.Threading.Tasks;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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namespace ConversationDynamics.IntegrationTests;
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namespace AgentConversation.IntegrationTests;
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/// <summary>
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/// Defines a single conversation dynamics test case.
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/// Defines a single agent conversation test case.
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/// </summary>
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/// <remarks>
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/// Each test case describes the initial conversation context (as a list of <see cref="ChatMessage"/> instances),
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+2
-2
@@ -6,10 +6,10 @@ using System.Threading.Tasks;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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namespace ConversationDynamics.IntegrationTests;
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namespace AgentConversation.IntegrationTests;
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/// <summary>
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/// Abstracts the system-specific concerns of a conversation dynamics test run: how agents are created
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/// Abstracts the system-specific concerns of an agent conversation test run: how agents are created
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/// and how context compaction is performed.
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/// </summary>
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/// <remarks>
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@@ -0,0 +1,163 @@
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# AgentConversation Integration Test Harness
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The `AgentConversation.IntegrationTests` project provides a **reusable test harness** for validating conversation dynamics in long-running, multi-agent scenarios that involve tool use. Instead of rebuilding a large conversation context in every test run, the harness allows you to:
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1. **Capture** a representative conversation context once (by driving a real conversation with your AI agents).
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2. **Serialize** that context to a JSON file and commit it alongside your tests.
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3. **Restore** the saved context in each test run.
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4. **Solicit** one or more agent responses from the restored context.
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5. **Validate** each response and compare before/after metrics.
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---
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## Key Abstractions
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| Type | Role |
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|------|------|
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| `IConversationTestCase` | Defines a test case: agents, initial messages, ordered steps, and a method to automate context creation. |
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| `IConversationTestSystem` | System-specific plugin: how to **create agents** and how to apply **context compaction** (both vary per AI backend). |
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| `ConversationAgentDefinition` | Describes a participating agent — name, instructions, and optional tools. |
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| `ConversationStep` | One step in the conversation: which agent to invoke, an optional input message, and an optional validation delegate. |
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| `ConversationMetrics` | A snapshot of conversation context size — message count and serialized byte size. |
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| `ConversationMetricsReport` | A before/after `ConversationMetrics` pair with delta helpers for reporting. |
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| `ConversationContextSerializer` | Serializes and deserializes `IList<ChatMessage>` to/from JSON strings or files. |
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| `ConversationHarness` | The core runner that ties everything together. |
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| `ConversationHarnessTests<TSystem>` | Abstract xunit base class that subclasses inherit to get the `RunAllTestCasesAsync` test. |
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---
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## How It Works
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### 1. Implement `IConversationTestSystem`
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Provide an implementation that knows how to create agents for your target AI backend and optionally compact messages:
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```csharp
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public sealed class OpenAIConversationTestSystem : IConversationTestSystem
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{
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public Task<AIAgent> CreateAgentAsync(ConversationAgentDefinition definition, CancellationToken ct = default)
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{
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var chatClient = new OpenAIClient(apiKey)
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.GetChatClient("gpt-4o")
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.AsIChatClient();
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AIAgent agent = new ChatClientAgent(chatClient, options: new()
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{
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Name = definition.Name,
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ChatOptions = new() { Instructions = definition.Instructions, Tools = definition.Tools }
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});
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return Task.FromResult(agent);
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}
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public Task<IList<ChatMessage>?> CompactAsync(IList<ChatMessage> messages, CancellationToken ct = default)
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{
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// Return null for no compaction, or apply an IChatReducer here.
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return Task.FromResult<IList<ChatMessage>?>(null);
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}
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}
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```
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### 2. Implement `IConversationTestCase`
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Define the agents involved, the initial context to restore, and the steps to execute:
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```csharp
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public sealed class MyConversationTestCase : IConversationTestCase
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{
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public string Name => "MyConversation";
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public IReadOnlyDictionary<string, ConversationAgentDefinition> AgentDefinitions { get; } =
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new Dictionary<string, ConversationAgentDefinition>
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{
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["Assistant"] = new() { Name = "Assistant", Instructions = "You are a helpful assistant." }
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};
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// Load the saved context from a JSON fixture file.
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public IList<ChatMessage> GetInitialMessages() =>
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ConversationContextSerializer.LoadFromFile("fixtures/my-conversation.context.json");
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public IReadOnlyList<ConversationStep> Steps { get; } =
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[
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new ConversationStep
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{
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AgentName = "Assistant",
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Input = new ChatMessage(ChatRole.User, "Summarize our conversation so far."),
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Validate = (response, metrics) =>
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{
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Assert.NotEmpty(response.Text);
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Assert.True(metrics.After.MessageCount > metrics.Before.MessageCount);
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}
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}
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];
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// Called once to generate the fixture file — not during normal CI runs.
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public async Task<IList<ChatMessage>> CreateInitialContextAsync(
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IReadOnlyDictionary<string, AIAgent> agents, CancellationToken ct = default)
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{
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var agent = agents["Assistant"];
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var session = await agent.CreateSessionAsync(ct);
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// Drive a rich, representative conversation to build up the context.
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await agent.RunAsync(new ChatMessage(ChatRole.User, "Tell me about the weather."), session, cancellationToken: ct);
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await agent.RunAsync(new ChatMessage(ChatRole.User, "What about tomorrow?"), session, cancellationToken: ct);
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// ... more turns ...
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var provider = agent.GetService<InMemoryChatHistoryProvider>()!;
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return provider.GetMessages(session);
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}
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}
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```
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### 3. Derive from `ConversationHarnessTests<TSystem>`
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Wire the system and test cases into a concrete test class:
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```csharp
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public class MyConversationTests(ITestOutputHelper output)
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: ConversationHarnessTests<OpenAIConversationTestSystem>(output)
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{
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protected override OpenAIConversationTestSystem CreateTestSystem() => new();
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protected override IEnumerable<IConversationTestCase> GetTestCases() =>
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[
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new MyConversationTestCase(),
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];
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}
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```
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The inherited `RunAllTestCasesAsync` test method will automatically run all cases and log the before/after metrics to the xunit test output.
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---
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## Generating Initial Context Fixtures
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The context fixture files need to be generated once and committed to the repository. Run the inherited `SerializeAllInitialContextsAsync` test to produce them:
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```bash
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dotnet test --filter "FullyQualifiedName~SerializeAllInitialContexts"
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```
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This test is **skipped during normal CI runs** to avoid expensive AI calls. After generating the files, commit them alongside your test code so that all subsequent runs can restore the context without calling the AI service again.
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---
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## Metrics Reporting
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After each test case runs, a `ConversationMetricsReport` is logged. It captures:
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- **`Before`** — message count and serialized byte size of the initial context.
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- **`After`** — message count and byte size after all steps have executed.
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- **`MessageCountDelta`** / **`SizeDeltaBytes`** — the change between before and after.
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Example output:
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```
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[MyConversation] Before=[Messages=12, Size=4096B] After=[Messages=14, Size=4712B] Delta=[Messages=+2, Size=+616B]
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```
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---
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## Example
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See [`Microsoft.Agents.AI.Abstractions.IntegrationTests`](../Microsoft.Agents.AI.Abstractions.IntegrationTests) for a self-contained working example that uses an in-memory mock `IChatClient` so it runs without live AI credentials.
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+36
@@ -0,0 +1,36 @@
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// Copyright (c) Microsoft. All rights reserved.
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using System.Collections.Generic;
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using AgentConversation.IntegrationTests;
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using Xunit.Abstractions;
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namespace Microsoft.Agents.AI.Abstractions.IntegrationTests;
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/// <summary>
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/// Example integration tests that exercise the <see cref="ConversationHarness"/> using an
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/// in-memory <see cref="InMemoryConversationTestSystem"/> that does not require live AI credentials.
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/// </summary>
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/// <remarks>
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/// <para>
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/// This class derives from <see cref="ConversationHarnessTests{TSystem}"/> and provides the system
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/// and test cases. The <see cref="ConversationHarnessTests{TSystem}.RunAllTestCasesAsync"/> test
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/// method is inherited automatically and will run all cases returned by <see cref="GetTestCases"/>.
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/// </para>
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/// <para>
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/// To adapt these tests to a real AI backend, replace <see cref="InMemoryConversationTestSystem"/>
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/// with an implementation that constructs agents backed by your AI service.
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/// </para>
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/// </remarks>
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public class AgentConversationHarnessTests(ITestOutputHelper output)
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: ConversationHarnessTests<InMemoryConversationTestSystem>(output)
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{
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/// <inheritdoc />
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protected override InMemoryConversationTestSystem CreateTestSystem() =>
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new InMemoryConversationTestSystem();
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/// <inheritdoc />
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protected override IEnumerable<IConversationTestCase> GetTestCases() =>
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[
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new MenuConversationTestCase(),
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];
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}
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// Copyright (c) Microsoft. All rights reserved.
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using System.Collections.Generic;
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using System.Threading;
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using System.Threading.Tasks;
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using AgentConversation.IntegrationTests;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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using Moq;
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namespace Microsoft.Agents.AI.Abstractions.IntegrationTests;
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/// <summary>
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/// An example <see cref="IConversationTestSystem"/> that uses an in-memory mock <see cref="IChatClient"/>
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/// so the harness can be exercised without live AI service credentials.
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/// </summary>
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/// <remarks>
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/// In a real integration test against a live AI service (e.g., OpenAI Chat Completion), this class
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/// would be replaced with an implementation that constructs <see cref="ChatClientAgent"/> instances
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/// backed by the real <see cref="IChatClient"/>. The compaction contract can similarly be wired up
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/// to an <see cref="Microsoft.Extensions.AI.IChatReducer"/> of your choice.
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/// </remarks>
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public sealed class InMemoryConversationTestSystem : IConversationTestSystem
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{
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/// <summary>
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/// A deterministic response suffix appended by the mock chat client to every assistant reply.
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/// Test validations can assert on this value to confirm the mock was invoked.
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/// </summary>
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public const string MockResponseSuffix = "[mock-response]";
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/// <inheritdoc />
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public Task<AIAgent> CreateAgentAsync(
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ConversationAgentDefinition definition,
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CancellationToken cancellationToken = default)
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{
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// Create a mock IChatClient that returns a deterministic response.
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var mockClient = new Mock<IChatClient>();
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mockClient
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.Setup(c => c.GetResponseAsync(
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It.IsAny<IEnumerable<ChatMessage>>(),
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It.IsAny<ChatOptions?>(),
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It.IsAny<CancellationToken>()))
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.ReturnsAsync(() => new ChatResponse(
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new ChatMessage(ChatRole.Assistant,
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$"Here are today's specials: Clam Chowder, Cobb Salad, Chai Tea. {MockResponseSuffix}")));
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// GetService is called internally by the harness for metadata; return null for unknown types.
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mockClient
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.Setup(c => c.GetService(It.IsAny<System.Type>(), It.IsAny<object?>()))
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.Returns((System.Type _, object? _) => null);
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AIAgent agent = new ChatClientAgent(
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mockClient.Object,
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options: new ChatClientAgentOptions
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{
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Name = definition.Name,
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ChatOptions = new ChatOptions
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{
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Instructions = definition.Instructions,
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Tools = definition.Tools is not null ? new System.Collections.Generic.List<AITool>(definition.Tools) : null,
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}
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});
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return Task.FromResult(agent);
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}
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/// <inheritdoc />
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public Task<IList<ChatMessage>?> CompactAsync(
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IList<ChatMessage> messages,
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CancellationToken cancellationToken = default)
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{
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// No compaction in this example system.
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return Task.FromResult<IList<ChatMessage>?>(null);
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}
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}
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+91
@@ -0,0 +1,91 @@
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// Copyright (c) Microsoft. All rights reserved.
|
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|
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using System.Collections.Generic;
|
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using System.Threading;
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using System.Threading.Tasks;
|
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using AgentConversation.IntegrationTests;
|
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
|
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|
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namespace Microsoft.Agents.AI.Abstractions.IntegrationTests;
|
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|
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/// <summary>
|
||||
/// An example <see cref="IConversationTestCase"/> that validates the harness can restore a
|
||||
/// pre-built conversation context and solicit a response from an agent.
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/// </summary>
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/// <remarks>
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/// This test case uses a fixed, in-memory conversation representing a menu-ordering interaction.
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/// The messages are defined inline (no JSON fixture file is required), which makes this a
|
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/// self-contained example that runs without live AI credentials.
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/// </remarks>
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public sealed class MenuConversationTestCase : IConversationTestCase
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{
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private const string AgentKey = "MenuAgent";
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/// <inheritdoc />
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public string Name => "MenuConversation";
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/// <inheritdoc />
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public IReadOnlyDictionary<string, ConversationAgentDefinition> AgentDefinitions { get; } =
|
||||
new Dictionary<string, ConversationAgentDefinition>
|
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{
|
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[AgentKey] = new ConversationAgentDefinition
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{
|
||||
Name = AgentKey,
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Instructions = "You are a helpful restaurant assistant. Answer questions about the menu.",
|
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Tools =
|
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[
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AIFunctionFactory.Create(MenuTools.GetSpecials),
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AIFunctionFactory.Create(MenuTools.GetItemPrice),
|
||||
]
|
||||
}
|
||||
};
|
||||
|
||||
/// <inheritdoc />
|
||||
public IReadOnlyList<ConversationStep> Steps { get; } =
|
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[
|
||||
new ConversationStep
|
||||
{
|
||||
AgentName = AgentKey,
|
||||
Input = new ChatMessage(ChatRole.User, "What are the specials today?"),
|
||||
Validate = (response, metrics) =>
|
||||
{
|
||||
Assert.NotNull(response);
|
||||
Assert.NotEmpty(response.Text);
|
||||
Assert.True(metrics.After.MessageCount > metrics.Before.MessageCount,
|
||||
"Message count should grow after the step.");
|
||||
}
|
||||
}
|
||||
];
|
||||
|
||||
/// <inheritdoc />
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||||
public IList<ChatMessage> GetInitialMessages() =>
|
||||
// A short, representative conversation context that is already in memory.
|
||||
[
|
||||
new ChatMessage(ChatRole.User, "Hello, I'd like to see the menu."),
|
||||
new ChatMessage(ChatRole.Assistant, "Welcome! I'm happy to help you with our menu. Feel free to ask about today's specials or the price of any item."),
|
||||
];
|
||||
|
||||
/// <inheritdoc />
|
||||
public async Task<IList<ChatMessage>> CreateInitialContextAsync(
|
||||
IReadOnlyDictionary<string, AIAgent> agents,
|
||||
CancellationToken cancellationToken = default)
|
||||
{
|
||||
// Build the initial context by running a short greeting exchange.
|
||||
var agent = agents[AgentKey];
|
||||
var session = await agent.CreateSessionAsync(cancellationToken).ConfigureAwait(false);
|
||||
|
||||
await agent.RunAsync(
|
||||
new ChatMessage(ChatRole.User, "Hello, I'd like to see the menu."),
|
||||
session,
|
||||
cancellationToken: cancellationToken).ConfigureAwait(false);
|
||||
|
||||
var historyProvider = agent.GetService<ChatHistoryProvider>() as InMemoryChatHistoryProvider;
|
||||
if (historyProvider is not null)
|
||||
{
|
||||
return historyProvider.GetMessages(session);
|
||||
}
|
||||
|
||||
return GetInitialMessages();
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,23 @@
|
||||
// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
using System.ComponentModel;
|
||||
|
||||
namespace Microsoft.Agents.AI.Abstractions.IntegrationTests;
|
||||
|
||||
/// <summary>
|
||||
/// Example tools used by the <see cref="MenuConversationTestCase"/> to simulate a restaurant menu service.
|
||||
/// </summary>
|
||||
internal static class MenuTools
|
||||
{
|
||||
[Description("Provides a list of today's specials from the restaurant menu.")]
|
||||
public static string GetSpecials() =>
|
||||
"""
|
||||
Special Soup: Clam Chowder
|
||||
Special Salad: Cobb Salad
|
||||
Special Drink: Chai Tea
|
||||
""";
|
||||
|
||||
[Description("Provides the price of the requested menu item.")]
|
||||
public static string GetItemPrice(
|
||||
[Description("The name of the menu item.")] string menuItem) => "$9.99";
|
||||
}
|
||||
+16
@@ -0,0 +1,16 @@
|
||||
<Project Sdk="Microsoft.NET.Sdk">
|
||||
|
||||
<PropertyGroup>
|
||||
<InjectSharedIntegrationTestCode>True</InjectSharedIntegrationTestCode>
|
||||
<InjectIsExternalInitOnLegacy>true</InjectIsExternalInitOnLegacy>
|
||||
<InjectRequiredMemberOnLegacy>true</InjectRequiredMemberOnLegacy>
|
||||
<InjectCompilerFeatureRequiredOnLegacy>true</InjectCompilerFeatureRequiredOnLegacy>
|
||||
</PropertyGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\..\src\Microsoft.Agents.AI.Abstractions\Microsoft.Agents.AI.Abstractions.csproj" />
|
||||
<ProjectReference Include="..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
|
||||
<ProjectReference Include="..\AgentConversation.IntegrationTests\AgentConversation.IntegrationTests.csproj" />
|
||||
</ItemGroup>
|
||||
|
||||
</Project>
|
||||
Reference in New Issue
Block a user